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Cell tracking using phase-adaptive shape prior.
- Source :
-
Journal of microscopy [J Microsc] 2013 Nov; Vol. 252 (2), pp. 149-58. Date of Electronic Publication: 2013 Aug 20. - Publication Year :
- 2013
-
Abstract
- Automated tracking of cell population is very crucial for quantitative measurements of dynamic cell-cycle behaviour of individual cells. This problem involves several subproblems and a high accuracy of each step is essential to avoid error propagation. In this paper, we propose a holistic three-component system to tackle this problem. For each phase, we first learn a mean shape as well as a model of the temporal dynamics of transformation, which are used for estimating a shape prior for the cell in the current frame. We then segment the cell using a level set-based shape prior model. Finally, we identify its phase based on the goodness-of-fit of the data to the segmentation model. This phase information is also used for fine-tuning the segmentation result. We evaluate the performance of our method empirically in various aspects and in tracking individual cells from HeLa H2B-GFP cell population. Highly accurate validation results confirm the robustness of our method in many realistic scenarios and the essentiality of each component of our integrating system.<br /> (© 2013 The Author Journal of Microscopy © 2013 Royal Microscopical Society.)
Details
- Language :
- English
- ISSN :
- 1365-2818
- Volume :
- 252
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of microscopy
- Publication Type :
- Academic Journal
- Accession number :
- 23962006
- Full Text :
- https://doi.org/10.1111/jmi.12078